Thomas Hermann

Bio: Thomas Hermann is an academic researcher from Bielefeld University. The author has contributed to research in topics: Sonification & Auditory display. The author has an hindex of 26, co-authored 257 publications receiving 3489 citations. Previous affiliations of Thomas Hermann include Citec & Universities UK.

The Sonification Handbook

Abstract: CONCRETE

Taxonomy and definitions for sonification and auditory display

Abstract: Sonification is still a relatively young research field and many terms such as sonification, auditory display, auralization, audification have been used without a precise definition. Recent developments such as the introduction of Model-Based Sonification, the establishment of interactive sonification and the increased interest in sonification from arts have raised the need to revisit the definitions in order to move towards a clearer terminology. This paper introduces a new definition for sonification and auditory display that emphasizes the necessary and sufficient conditions for organized sound to be called sonification. It furthermore suggests a taxonomy, and discusses the relation between visualization and sonification. A hierarchy of closed-loop interactions is furthermore introduced. This paper aims to initiate vivid discussion towards the establishment of a deeper theory of sonification and auditory display.

Listen to your Data: Model-Based Sonification for Data Analysis

Abstract: Sonification is the use of non-speech audio to convey information. We are developing tools for interactive data exploration, which make use of sonification for data presentation. In this paper, model-based sonification is presented as a concept to design auditory displays. Two designs are described: (1) particle trajectories in a "data potential" is a sonification model to reveal information about the clustering of vectorial data and (2) "data-sonograms" is a sonification for data from a classification problem to reveal information about the mixing of distinct classes.

Sonification for Exploratory Data Analysis

Abstract: ion Emotion Tone Therapeutic Cycle

Guest Editors' Introduction: An Introduction to Interactive Sonification

Abstract: The research field of sonification, a subset of the topic of auditory display, has developed rapidly in recent decades. It brings together interests from the areas of data mining, exploratory data analysis, human-computer interfaces, and computer music. Sonification presents information by using sound (particularly nonspeech), so that the user of an auditory display obtains a deeper understanding of the data or processes under investigation by listening.

打磨Using Language,倡导新理念

Abstract: 人教版高中英语新课程教材中,语言运用（Using Language）是每个单元必不可少的部分,提供了围绕单元中心话题的听、说、读、写的综合性练习,是单元中心话题的延续和升华.如何设计Using Language部分的教学,使自己的教学模式既不落俗套,又能真正体现新课程标准所倡导的教学理念,正是广大一线英语教师一直努力探索的问题.

Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review

Abstract: It is generally accepted that augmented feedback, provided by a human expert or a technical display, effectively enhances motor learning. However, discussion of the way to most effectively provide augmented feedback has been controversial. Related studies have focused primarily on simple or artificial tasks enhanced by visual feedback. Recently, technical advances have made it possible also to investigate more complex, realistic motor tasks and to implement not only visual, but also auditory, haptic, or multimodal augmented feedback. The aim of this review is to address the potential of augmented unimodal and multimodal feedback in the framework of motor learning theories. The review addresses the reasons for the different impacts of feedback strategies within or between the visual, auditory, and haptic modalities and the challenges that need to be overcome to provide appropriate feedback in these modalities, either in isolation or in combination. Accordingly, the design criteria for successful visual, auditory, haptic, and multimodal feedback are elaborated.

Multivariate Density Estimation

Abstract: Exploring and identifying structure is even more important for multivariate data than univariate data, given the difficulties in graphically presenting multivariate data and the comparative lack of parametric models to represent it. Unfortunately, such exploration is also inherently more difficult.

The Sonification Handbook

Abstract: CONCRETE